About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Beginner Level

Familiarity with the R programming language

Approx. 7 hours to complete
English

What you will learn

  • Distinguish between tidy and non-tidy data

  • Describe how non-tidy data can be transformed into tidy data

  • Describe the Tidyverse ecosystem of packages

  • Organize and initialize a data science project

Skills you will gain

  • Data Management
  • Data Visualization (DataViz)
  • R Programming
  • tidying data
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Familiarity with the R programming language

Approx. 7 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Tidy Data

2 hours to complete
6 readings
Week2
Week 2
1 hour to complete

From Non-Tidy –> Tidy

1 hour to complete
3 readings
1 hour to complete

The Data Science Life Cycle & Tidyverse Ecosystem

1 hour to complete
5 readings
Week3
Week 3
2 hours to complete

Data Science Project Organization & Workflows

2 hours to complete
6 readings
1 hour to complete

Case Studies

1 hour to complete
2 readings
Week4
Week 4
1 hour to complete

Project: Organizing a New Data Science Project

1 hour to complete

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About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

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